Developing an Efficient Method for Automatic Threshold Detection Based on Hybrid Feature Selection Approach.
Heba Mamdouh FarghalyAbdelmgeid A. AliTarek Abd-El-HafeezPublished in: CSOC (2) (2020)
Keyphrases
- fully automatic
- computational cost
- detection method
- threshold selection
- feature selection
- preprocessing
- mutual information
- unsupervised learning
- feature selection and classification
- detection rate
- high precision
- classification method
- clustering method
- classification accuracy
- objective function
- anomaly detection
- support vector machine svm
- machine learning
- feature set
- multi class
- computational complexity
- support vector
- feature extraction
- method for feature selection